An imputation approach using subdistribution weights for deep survival analysis with competing events

With the popularity of deep neural networks (DNNs) in recent years, many researchers have proposed DNNs for the analysis of survival data (time-to-event data). These networks learn the distribution of survival times directly from the predictor variables without making strong assumptions on the under...

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Detalles Bibliográficos
Autores principales: Gorgi Zadeh, Shekoufeh, Behning, Charlotte, Schmid, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907249/
https://www.ncbi.nlm.nih.gov/pubmed/35264661
http://dx.doi.org/10.1038/s41598-022-07828-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907249/
https://www.ncbi.nlm.nih.gov/pubmed/35264661
http://dx.doi.org/10.1038/s41598-022-07828-7

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